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1.
Cancer Biol Med ; 20(6)2023 05 13.
Article in English | MEDLINE | ID: mdl-37184030

ABSTRACT

OBJECTIVE: Liver cancer is a deadly malignancy associated with high mortality and morbidity. Less than 20% of patients with advanced liver cancer respond to a single anti-PD-1 treatment. The high heterogeneity of neutrophils in the tumor immune microenvironment in liver cancer may contribute to resistance to immune checkpoint blockade (ICB). However, the underlying mechanism remains largely unknown. METHODS: We established an orthotopic liver cancer model by using transposable elements to integrate the oncogenes Myc and KrasG12D into the genome in liver cells from conditional Trp53 null/null mice (pTMK/Trp53-/-). Flow cytometry and immunohistochemistry were used to assess the changes in immune cells in the tumor microenvironment. An ex vivo coculture assay was performed to test the inhibitory effects of tumor-associated neutrophils (TANs) on CD8+ T cells. The roles of neutrophils, T cells, and NK cells were validated through antibody-mediated depletion. The efficacy of the combination of neutrophil depletion and ICB was evaluated. RESULTS: Orthotropic pTMK/Trp53-/- mouse liver tumors displayed a moderate response to anti-Ly6G treatment but not PD-1 blockade. Depletion of neutrophils increased the infiltration of CD8+ T cells and decreased the number of exhausted T cells in the tumor microenvironment. Furthermore, depletion of either CD8+ T or NK cells abrogated the antitumor efficacy of anti-Ly6G treatment. Moreover, the combination of anti-Ly6G with anti-PD-L1 enhanced the infiltration of cytotoxic CD8+ T cells and thereafter resulted in a significantly greater decrease in tumor burden. CONCLUSIONS: Our data suggest that TANs may contribute to the resistance of liver cancer to ICB, and combining TAN depletion with T cell immunotherapy synergistically increases antitumor efficacy.


Subject(s)
Immune Checkpoint Inhibitors , Liver Neoplasms , Humans , Mice , Animals , Immune Checkpoint Inhibitors/pharmacology , Immune Checkpoint Inhibitors/therapeutic use , CD8-Positive T-Lymphocytes , Neutrophils , Liver Neoplasms/drug therapy , Liver Neoplasms/pathology , T-Lymphocytes, Cytotoxic/pathology , Tumor Microenvironment
2.
Nature ; 612(7938): 141-147, 2022 12.
Article in English | MEDLINE | ID: mdl-36352227

ABSTRACT

The heterogeneity of the tumour immune microenvironment (TIME), organized by various immune and stromal cells, is a major contributing factor of tumour metastasis, relapse and drug resistance1-3, but how different TIME subtypes are connected to the clinical relevance in liver cancer remains unclear. Here we performed single-cell RNA-sequencing (scRNA-seq) analysis of 189 samples collected from 124 patients and 8 mice with liver cancer. With more than 1 million cells analysed, we stratified patients into five TIME subtypes, including immune activation, immune suppression mediated by myeloid or stromal cells, immune exclusion and immune residence phenotypes. Different TIME subtypes were spatially organized and associated with chemokine networks and genomic features. Notably, tumour-associated neutrophil (TAN) populations enriched in the myeloid-cell-enriched subtype were associated with an unfavourable prognosis. Through in vitro induction of TANs and ex vivo analyses of patient TANs, we showed that CCL4+ TANs can recruit macrophages and that PD-L1+ TANs can suppress T cell cytotoxicity. Furthermore, scRNA-seq analysis of mouse neutrophil subsets revealed that they are largely conserved with those of humans. In vivo neutrophil depletion in mouse models attenuated tumour progression, confirming the pro-tumour phenotypes of TANs. With this detailed cellular heterogeneity landscape of liver cancer, our study illustrates diverse TIME subtypes, highlights immunosuppressive functions of TANs and sheds light on potential immunotherapies targeting TANs.


Subject(s)
Liver Neoplasms , Neutrophils , Tumor Microenvironment , Animals , Humans , Mice , Immunotherapy , Liver Neoplasms/drug therapy , Liver Neoplasms/immunology , Neoplasm Recurrence, Local , Neutrophils/cytology , Neutrophils/immunology , Tumor Microenvironment/immunology , T-Lymphocytes/immunology , Macrophages/immunology , Prognosis , Disease Progression
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